Time Series Analysis

Time Series Analysis is a statistical technique used to analyze and model time-based data. It is used in various fields such as finance, economics, and engineering to analyze patterns and trends in data over time. The goal of time series analysis is to identify the underlying patterns, trends, and seasonality in the data, and to use this information to make informed predictions about future values.

( Image credit: Autoregressive CNNs for Asynchronous Time Series )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 311–320 of 6748 papers

Title	Date	Tasks	Status	Hype	Score
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting	Jul 6, 2020	Graph GenerationGraph Neural Network	CodeCode Available	1	5
A Reinforcement Learning Based Encoder-Decoder Framework for Learning Stock Trading Rules	Jan 8, 2021	DecoderDeep Reinforcement Learning	CodeCode Available	1	5
Domain Adaptation for Time Series Forecasting via Attention Sharing	Feb 13, 2021	Domain AdaptationTime Series	CodeCode Available	1	5
A Novel Deep Learning Model for Hotel Demand and Revenue Prediction amid COVID-19	Mar 8, 2022	Correlated Time Series ForecastingCOVID-19 Modelling	CodeCode Available	1	5
A Review of Graph Neural Networks and Their Applications in Power Systems	Jan 25, 2021	Time SeriesTime Series Analysis	CodeCode Available	1	5
Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer	May 20, 2022	Contrastive LearningRepresentation Learning	CodeCode Available	1	5
ARMA Cell: A Modular and Effective Approach for Neural Autoregressive Modeling	Aug 31, 2022	Time SeriesTime Series Analysis	CodeCode Available	1	5
Are we certain it's anomalous?	Nov 16, 2022	Anomaly DetectionTime Series	CodeCode Available	1	5
Crop mapping from image time series: deep learning with multi-scale label hierarchies	Feb 17, 2021	Crop ClassificationGeneral Classification	CodeCode Available	1	5
An Unsupervised Short- and Long-Term Mask Representation for Multivariate Time Series Anomaly Detection	Aug 19, 2022	Anomaly DetectionRepresentation Learning	CodeCode Available	1	5

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All datasets PhysioNet Challenge 2012 Speech Commands Ventilator Pressure Prediction

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	naive classifier	F1	87.47	—	Unverified
2	GRU-D - APC (n = 1)	F1	27.3	—	Unverified
3	GRU-APC (n = 1)	F1	25.7	—	Unverified
4	GRU-D	F1	22.5	—	Unverified
5	GRU	F1	22.3	—	Unverified
6	GRU-Simple	F1	22.2	—	Unverified
7	GRU-Mean	F1	22.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SepTr	% Test Accuracy	98.51	—	Unverified
2	ViT	% Test Accuracy	98.11	—	Unverified
3	FlexTCN-4	% Test Accuracy	97.73	—	Unverified
4	MatchboxNet	% Test Accuracy	97.4	—	Unverified
5	CKCNN (100k)	% Test Accuracy	95.27	—	Unverified
6	FlexTCN-6	% Test Accuracy (Raw Data)	91.73	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ResBiLSTM	MAE	0.13	—	Unverified